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dc.contributor.authorMa, Daolin
dc.contributor.authorDong, Siyuan
dc.contributor.authorRodriguez, Alberto
dc.date.accessioned2022-02-15T18:30:25Z
dc.date.available2022-01-20T14:26:38Z
dc.date.available2022-02-15T18:30:25Z
dc.date.issued2021-10
dc.date.submitted2021-05
dc.identifier.isbn978-1-7281-9077-8
dc.identifier.issn2577-087X
dc.identifier.urihttps://hdl.handle.net/1721.1/139634.2
dc.description.abstractThis paper addresses the localization of contacts of an unknown grasped rigid object with its environment, i.e., extrinsic to the robot. We explore the key role that distributed tactile sensing plays in localizing contacts external to the robot, in contrast to the role that aggregated force/torque measurements play in localizing contacts on the robot. When in contact with the environment, an object will move in accordance with the kinematic and possibly frictional constraints imposed by that contact. Small motions of the object, which are observable with tactile sensors, indirectly encode those constraints and the geometry that defines them. We formulate the extrinsic contact sensing problem as a constraint-based estimation. The estimation is subject to the kinematic constraints imposed by the tactile measurements of object motion, as well as the kinematic (e.g., non-penetration) and possibly frictional (e.g., sticking) constraints imposed by rigid-body mechanics. We validate the approach in simulation and with real experiments on the case studies of fixed point and line contacts. This paper discusses the theoretical basis for the value of distributed tactile sensing in contrast to aggregated force/torque measurements. It also provides an estimation framework for localizing environmental contacts with potential impact in contact-rich manipulation scenarios such as assembling or packing.en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/icra48506.2021.9561781en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleExtrinsic Contact Sensing with Relative-Motion Tracking from Distributed Tactile Measurementsen_US
dc.typeArticleen_US
dc.identifier.citationMa, Daolin, Dong, Siyuan and Rodriguez, Alberto. 2021. "Extrinsic Contact Sensing with Relative-Motion Tracking from Distributed Tactile Measurements." 2021 IEEE International Conference on Robotics and Automation (ICRA).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.relation.journal2021 IEEE International Conference on Robotics and Automation (ICRA)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-01-20T14:22:36Z
dspace.orderedauthorsMa, D; Dong, S; Rodriguez, Aen_US
dspace.date.submission2022-01-20T14:22:40Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work Neededen_US


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